Munich, Germany
Product leader and engineer building AI-native software for the people who run enterprise networks.
15+ years deep in network infrastructure — from cellular expertise at Samsung to MX series firewalls with cellular capabilities at Cisco Meraki. Now exploring where AI genuinely changes how enterprise networks are run.
I spent the first decade of my career deep in engineering — building solutions at Samsung and Sony, then doing my graduate degree in Computer Science at the University of Utah. I understood how things were built, and I understood them well.
But somewhere along the way I realised I was more frustrated by the product decisions being made around me than by any technical problem I was solving. I kept seeing things shipped that shouldn't have been, and gaps nobody was filling. I was tired of watching from the engineering seat — I wanted to own the whole thing. So I moved into product.
When I joined Cisco Meraki, I had two weeks of onboarding and was thrown straight into the deep end — no hand-holding, just fires to fight and a platform to learn at the same time. The first six months were brutal. But instead of rushing to ship features, I focused on understanding what was actually broken first. Quality before novelty. Get the fundamentals right, then introduce things nobody else had. That discipline — and something Dan Miller wrote that stuck with me, that customers don't know what they want until you give it to them — is what turned a product line with zero revenue into a $200M+ business.
I grew up in India, but living in the US changed how I think. That's where I understood what it really means to think without a ceiling, back yourself, and respect people for what they do rather than where they're from. I wouldn't be building what I'm building now without that.
I've since lived in Canada and Germany, visited 30+ countries, and pick up languages compulsively — seven so far. My current obsession is around macroeconomics and geopolitics. Not as a pastime — I study how power works because I want to eventually be in a position to use it well, and you can't shape what you don't understand. It also helps with investing in the stock market.
- Grew Meraki MG gateway and cellular revenue on Meraki MX to a $200M+ run rate business; MG product line voted 10th best product across all of Cisco by global sales
- Introduced the world's first automated eSIM activation for IoT routers (with AT&T); pending USPTO patent on Dynamic 5G Network Slicing
- Led carrier certifications across 8 global operators and resolved Tier-1 escalations saving ~$10M
- Developed critical cellular solutions across industry verticals including healthcare and public safety; customers included Medtronic and Honeywell
- Improved vEPC CPU utilisation by 40% via a multi-worker task model on hypervisors
- Developed middleware and security modules for Samsung's flagship Galaxy smartphones; part of the team that built Samsung Ultra Power Saving mode, now a feature across all Samsung smartphones
- Developed carrier-specific solutions on Android Telephony and Qualcomm's modem stack at Sony Ericsson Communications AB, stationed at Lund, Sweden
- Extended Alcatel's network analyser suite to support Ericsson, Nokia, and UTStar equipment
Focused on reducing the manual overhead in network discovery, design and deployment. Currently exploring how much AI can absorb some of the manual process with high accuracy and where does it still need a human in the loop? In my product management experience with hundreds of partner and customer conversations, I understand how network refresh projects share a structural vulnerability with other complex engineering processes: individual safeguards are imperfect, and failures occur when gaps in multiple layers align simultaneously.
Enterprise infra tooling is notoriously hard to use. Exploring what it looks like when you replace complex dashboards and CLI workflows with a conversational layer that understands network context deeply — not just a chatbot wrapper, but something that actually knows your topology, compliance posture, and device lifecycle.
What it takes to go from domain expert to product builder — the gap between knowing a problem intimately and shipping software that solves it. I've spent 15 years as the customer for tools like this. Now I'm on the other side, and the perspective shift is more interesting than I expected.
I'm happy to talk about network infrastructure, AI in enterprise ops, or the experience of building software from deep domain expertise. The best way to reach me is LinkedIn.